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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 web analytics


How to Deal with the Top 5 Challenges of Web Analytics
Web analytics has never been an exact science—which can make the process extremely frustrating. How can you be 100 percent certain that the data you’re working

web analytics  Top 5 Challenges of Web Analytics Web analytics has never been an exact science—which can make the process extremely frustrating. How can you be 100 percent certain that the data you’re working with is always accurate? To deal with this and many other questions that will arise, businesses must gain a better understanding of how well their analytics tools work with their existing data integration solutions, and how using testing platforms will help.

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Web Content Management (WCM)

Web content management (WCM) systems manage content creation, review, and approval processes for web site content. This may include public Web sites (Internet) or private web sites (intranet or extranet). Use a WCM solution to organize and manage documents; provide content version control, collaboration utilities, and user- or document-level security. 

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Documents related to » web analytics

From Text to Business Insight: All about Enterprise Text Analytics


Text analytics automates the extraction of business value from Web sites and social media content, from e-mail and survey responses, to regulatory filings and corporate documents. These sources and others capture information from and about customers, prospects, products, companies, and competitors in human readable form. Download this white paper for a handy guide to understanding—and profiting from—enterprise text analytics.

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How to Evaluate Web-based BI Solutions


Web-based business intelligence (BI) is no longer an anomaly: organizations are ready for BI solutions that go beyond Web portals. However, when selecting Web-based BI applications, organizations must evaluate architecture, rather than features or functions. What differentiators do you need to look for before embarking on a full-scale BI implementation? And which vendors offer the solution your organization truly needs?

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Logi Analytics


Logi Analytics enables organizations to put information to work by allowing them to create web-based BI and analytic applications that can be integrated directly within the applications, systems, and processes that support their business – all at a fraction of the cost of other solutions. Unlike traditional BI platforms that are complex and costly, Logi Analytics technology allows organizations to rapidly develop, deploy, and adapt applications to serve business users without extensive development or professional services. Logi Analytics is headquartered in McLean, Virginia, with sales and support offices in the UK serving Europe. The company is a privately held, venture-backed firm with investments from Updata Partners, GroTech Ventures, and Summit Partners.

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Business Analytics: Nucleus Research Note—How Analytics Makes Midsize Companies More Profitable


When senior leaders of small and midsize companies invest in analytics tools, they can improve operating results by enabling managers to make fact-based, data-driven decisions. Learn how in this report from Nucleus Research.

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Web Work


Web Work is a 100 percent Web-based CMMS/EAM system that comes with eleven standard modules and ten optional modules to expand and customize day-to-day management of operations. Key Features include the ability to - Manage customer requests for service - Develop detailed work plans and maintenance objectives - Design hierarchal location and asset structures - Track the movement of assets and life cycles - Manage labor and contractor work - Track and maintain inventory and storerooms - Manage inventory requests and vendor performance - Purchase and receive inventory and non-inventory items - Report and analyze all aspects of the work performed - Integrate data with other key business applications  

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DataSelf Analytics


DataSelf Analytics is easy to use and quick to deploy. The easy-to-customize solution comes pre-configured with a data warehouse, online analytical processing (OLAP) cubes, in-memory analytics, dashboards, and more than 2,000 reports and key performance indicators (KPIs).

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International Institute for Analytics


The International Institute for Analytics (IIA) provides advisory services, annual research subscriptions, analytics research councils, and executive roundtables.

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Not Just Words: Enforce Your E-mail and Web Acceptable Usage Policies


Unmanaged employee use of e-mail and the Web can subject your organization to costly risks including litigation, regulatory investigations, and public embarrassment. Responsible organizations should deploy clearly written acceptable usage policies (AUPs) for e-mail and Web usage, supported by employee training and enforced by technology solutions. Find out how to develop and enforce e-mail and Web AUPs in your workplace.

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Using Analytics to Help You Overcome Your Supply Chain Challenges


Many enterprises are turning to analytics, and even predictive analytics, to capture and make sense of the increasing amount of data that enterprise systems are generating. While there is considerable focus on “big data”, a perhaps more useful focus would be on best practice use of analytics to better understand the specific supply chain issues within an enterprise.

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Analytics: A Blueprint for Value in Mid-Market Organizations


While most mid-market companies have an analytics foundation designed to handle structured data, few have evolved to more dynamic environments required for big data and a pervasive and prescriptive use of advanced analytics that are essential to survive in a digital world. So, what should mid-market companies do now to improve their capabilities to convert data-driven insights into meaningful results? In this report, we explore how they can tap into their strengths, shore up their weaknesses, and learn from analytics leaders.

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